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Updated: Nov 3, 2025
Digital Spatial Profiling for Characterization of the Microenvironment in Adult-Type Diffusely Infiltrating Glioma
Published on: September 13, 2022
Integrative analysis of somatic mutations and differential expression profiles in glioblastoma based on aging
Huize Wang1,2, Shiyan Li3, Hongxin Liu3
1Department of Nursing, First Affiliated Hospital of China Medical University 155# North Nanjing Street, Shenyang 110001, Liaoning, China.
Background:
Glioblastoma (GBM) is an aggressive brain tumor and the mechanisms of progression are very complex. Accelerated aging is a driving factor of GBM. However, there has not been thorough research about the mechanisms of GBM progression based on aging acceleration.
Methods:
The aging predictor was modeled based on normal brain samples. Then an aging acceleration background network was constructed to explore GBM mechanisms.
Results:
The accelerated aging-related mechanisms provided an innovative way to study GBM, wherein integrative analysis of somatic mutations and differential expression revealed key pathologic characteristics. Moreover, the influence of the immune system, the nervous system and other critical factors on GBM were identified. The survival analysis also disclosed crucial GBM markers.
Conclusion:
An integrative analysis of multi-omics data based on aging acceleration identified new driving factors for GBM.
